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Explicating the effects of big data analytics capabilities on supply chain resilience dimensions: dynamic capabilities approach and complex adaptive system perspective

Author

Listed:
  • Sina Shokoohyar
  • Sajjad Shokouhyar
  • Sahra Hakimioun

Abstract

In an uncertain business environment, industries need to be resilient in their supply chains to be able to face the possible changes, identify them, and react to the real ones. This study aims at presenting a general approach to evaluate big data analytics (BDA) potential regarding supply chain resilience. The effects of three enablers of BDA capabilities, namely BDA management ability, BDA infrastructure flexibility, and BDA personnel expertise ability on supply chain resilience dimensions, namely efficiency-based capabilities, adaptive capability, and collaborative capability were studied in a conceptual framework. Evaluation of the research measurement as well as structural model validity was performed via partial least squares structural equation modelling (PLS-SEM). The results show that BDA capabilities have a positive and meaningful effect on supply chain resiliency. Moreover, according to the findings, capabilities of BDA personnel along with BDA infrastructure flexibility had a greater impact on supply chain resilience.

Suggested Citation

  • Sina Shokoohyar & Sajjad Shokouhyar & Sahra Hakimioun, 2022. "Explicating the effects of big data analytics capabilities on supply chain resilience dimensions: dynamic capabilities approach and complex adaptive system perspective," International Journal of Logistics Systems and Management, Inderscience Enterprises Ltd, vol. 43(4), pages 451-483.
    • Handle: RePEc:ids:ijlsma:v:43:y:2022:i:4:p:451-483
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